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Ontology Summit
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Big Data and Semantic Web Meet Applied Ontology
Big Data and Semantic Web Meet Applied Ontology

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Upcoming 31MAR - Free Webinar - Semantic integration for Geographically Distributed Sensor + Control Systems. Part of Ontology Summit 2016

http://bit.ly/1VRDeIa #OntologySummit #ontology 31MAR #semanticweb #interop
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Today #Semantic Interoperability in Finance

Co-chairs: Mike Bennett + Andrea Westerinen

#ontologysummit #ontology 12:30EDT #AI virtual http://bit.ly/1Mn578A
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VIRTUAL SESSION TODAY
Ontology Summit for 2015 Internet of Things: Toward Smart Networked systems and Societies. Today’s Session “Decision Making in Different Domains”
Session chair Mike Bennett
Speakers:
Bill Murdock (IBM Watson)
Marco Rospocher (FBK Trento, @marcorospocher)
Matthew Giannini (SkyFoundry, @matthewgiannini)

Today March 19
“Decision Making in Different Domains
* Date: Thurs, 19-Mar-2015 12:30P EST

** ~2.0 hours

http://bit.ly/1CwPcxV

and the main Ontology Summit page at
http://ontolog-02.cim3.net/wiki/OntologySummit2015

- Michael Gruninger and Mark Underwood
Chairs, Ontology Summit 2015
http://ow.ly/i/8TiAM
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Now Presenting: #IoT Category theory for modular design for #IoT #ontologysummit E. Subrahmanian, S. Breiner http://bit.ly/19edDVD
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The theme of this year's Ontology Summit is
Internet of Things: Toward Smart Networked Systems and Societies
and over the next three months, we will explore how ontologies can play
a significant role in the realization of smart networked systems and
societies in the Internet of Things.

You are cordially invited to our next session today
Thursday March 12 on the topic
Ontology Integration in the Internet of Things

The session is co-championed by Leo Obrst and Ram Sriram.
Speakers include Eswaran Subrahmanian, and Krzysztof Janowicz.

* Date: Thursday, 12-Mar-2015

* Start-time: 9:30am PST / 12:30pm EST / 6:30pm CEST / 5:30pm BST / 1730 UTC
** world clock:
http://www.timeanddate.com/worldclock/fixedtime.html?iso=20150305T1230&p1=179

** Duration: ~2.0 hours

All other details can be found at

http://ontolog-02.cim3.net/wiki/ConferenceCall_2015_03_12

and the main Ontology Summit page at
http://ontolog-02.cim3.net/wiki/OntologySummit2015

- Michael Gruninger and Mark Underwood
Chairs, Ontology Summit 2015
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+LaurentLefort, Thanks for your input!
Just want to share my appreciation of the work done during this year's Ontology Summit. Kudos for the produced output    http://ontolog.cim3.net/OntologySummit/2014/  and regrets for not being able to attend to the teleconfs (from Australia)

Here are some inputs for the post-mortem session (regrets again).
I'm keen to know if these points have been discussed during this year's summit - I must confess I have not checked all the available material yet. 

On the main topic of ontology and big data:
- there is more than an OODA loop or a JDL loop at stake. I think the ontology work is also about develping new representations. I read somewhere that this was happening more in the Digital Humanities (LODLAM community) than elsewhere. 

see Card, S. K. The science of analytical reasoning. Chapter 2 in Illuminating the Path: the Research and Development Agenda for Visual Analytics http://www.parc.com/content/attachments/chapter_2_scienceanalyticalreasoning_5492_parc.pdf
which describes one main discovery loop with two sub-loops: foraging loop and sense-making loop and an important intermediate steps = to develop a useful representation (or schema)

Also, for me, one of the big change brought by big data, is the changes discussed in the NIST Big Data working group, from a Data Warehouse approach where the curators (and ontologists) can do their share FIRST vs. other approaches (see below) where, well, it's more complicated ... 

Grady, N., Balac, N. and Lister, E. (2013) NIST Big Data Public Working Group Definition and Taxonomy Subgroup Presentation September 30, 2013 http://bigdatawg.nist.gov/_uploadfiles/M0254_v3_8614895646.pptx  with 4 templates: 
- Data Warehouse Template– store after curate
- Volume template – store raw data after collect
- Velocity Template – store after analytics
- Variety Template – Schema-on-Read 

BTW, I'm a bit shocked of the absence of triple stores in this DRAFT techno roadmap published by the NIST Big Data Working Group http://bigdatawg.nist.gov/V1_output_docs.php
(some action needed?) 

- NIST Big Data Interoperability Framework: Volume 7, Technology Roadmap http://bigdatawg.nist.gov/_uploadfiles/BD_Vol7-TechRoadmap_V1Draft_Pre-release.pdf Comparison of storage and processing frameworks

P.S.: for next year's summit, I'd like to suggest the topic of negotiating model quality priorities - to get a better understanding n when it is okay to have more than one ontology on a given topic
- see Quality of Conceptual Models (SEQUAL) by J. Krogstie http://www.henleybusinessschool.net/web/FILES/IRC/Book_of_proceedings_ICISO_2013.pdf#page=179  as a conversation starter.
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